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-rwxr-xr-xgr-digital/python/qa_mpsk_snr_est.py126
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diff --git a/gr-digital/python/qa_mpsk_snr_est.py b/gr-digital/python/qa_mpsk_snr_est.py
deleted file mode 100755
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--- a/gr-digital/python/qa_mpsk_snr_est.py
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-#!/usr/bin/env python
-#
-# Copyright 2011 Free Software Foundation, Inc.
-#
-# This file is part of GNU Radio
-#
-# GNU Radio is free software; you can redistribute it and/or modify
-# it under the terms of the GNU General Public License as published by
-# the Free Software Foundation; either version 3, or (at your option)
-# any later version.
-#
-# GNU Radio is distributed in the hope that it will be useful,
-# but WITHOUT ANY WARRANTY; without even the implied warranty of
-# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
-# GNU General Public License for more details.
-#
-# You should have received a copy of the GNU General Public License
-# along with GNU Radio; see the file COPYING. If not, write to
-# the Free Software Foundation, Inc., 51 Franklin Street,
-# Boston, MA 02110-1301, USA.
-#
-
-from gnuradio import gr, gr_unittest
-import digital_swig as digital
-import math, random
-
-def get_cplx():
- return complex(2*random.randint(0,1) - 1, 0)
-def get_n_cplx():
- return complex(random.random()-0.5, random.random()-0.5)
-
-class test_mpsk_snr_est (gr_unittest.TestCase):
- def setUp (self):
- self.tb = gr.top_block ()
-
- random.seed(0) # make repeatable
- N = 10000
- self._noise = [get_n_cplx() for i in xrange(N)]
- self._bits = [get_cplx() for i in xrange(N)]
-
- def tearDown (self):
- self.tb = None
-
- def mpsk_snr_est_setup (self, op):
- result = []
- for i in xrange(1,6):
- src_data = [b+(i*n) for b,n in zip(self._bits, self._noise)]
-
- src = gr.vector_source_c (src_data)
- dst = gr.null_sink (gr.sizeof_gr_complex)
-
- tb = gr.top_block ()
- tb.connect (src, op)
- tb.connect (op, dst)
- tb.run () # run the graph and wait for it to finish
-
- result.append(op.snr())
- return result
-
- def test_mpsk_snr_est_simple (self):
- expected_result = [11.48, 5.91, 3.30, 2.08, 1.46]
-
- N = 10000
- alpha = 0.001
- op = digital.mpsk_snr_est_cc (digital.SNR_EST_SIMPLE, N, alpha)
-
- actual_result = self.mpsk_snr_est_setup(op)
- self.assertFloatTuplesAlmostEqual (expected_result, actual_result, 2)
-
- def test_mpsk_snr_est_skew (self):
- expected_result = [11.48, 5.91, 3.30, 2.08, 1.46]
-
- N = 10000
- alpha = 0.001
- op = digital.mpsk_snr_est_cc (digital.SNR_EST_SKEW, N, alpha)
-
- actual_result = self.mpsk_snr_est_setup(op)
- self.assertFloatTuplesAlmostEqual (expected_result, actual_result, 2)
-
- def test_mpsk_snr_est_m2m4 (self):
- expected_result = [11.02, 6.20, 4.98, 5.16, 5.66]
-
- N = 10000
- alpha = 0.001
- op = digital.mpsk_snr_est_cc (digital.SNR_EST_M2M4, N, alpha)
-
- actual_result = self.mpsk_snr_est_setup(op)
- self.assertFloatTuplesAlmostEqual (expected_result, actual_result, 2)
-
- def test_mpsk_snr_est_svn (self):
- expected_result = [10.92, 6.02, 4.78, 4.98, 5.51]
-
- N = 10000
- alpha = 0.001
- op = digital.mpsk_snr_est_cc (digital.SNR_EST_SVR, N, alpha)
-
- actual_result = self.mpsk_snr_est_setup(op)
- self.assertFloatTuplesAlmostEqual (expected_result, actual_result, 2)
-
- def test_probe_mpsk_snr_est_m2m4 (self):
- expected_result = [11.02, 6.20, 4.98, 5.16, 5.66]
-
- actual_result = []
- for i in xrange(1,6):
- src_data = [b+(i*n) for b,n in zip(self._bits, self._noise)]
-
- src = gr.vector_source_c (src_data)
-
- N = 10000
- alpha = 0.001
- op = digital.probe_mpsk_snr_est_c (digital.SNR_EST_M2M4, N, alpha)
-
- tb = gr.top_block ()
- tb.connect (src, op)
- tb.run () # run the graph and wait for it to finish
-
- actual_result.append(op.snr())
- self.assertFloatTuplesAlmostEqual (expected_result, actual_result, 2)
-
-
-if __name__ == '__main__':
- # Test various SNR estimators; we're not using a Gaussian
- # noise source, so these estimates have no real meaning;
- # just a sanity check.
- gr_unittest.run(test_mpsk_snr_est, "test_mpsk_snr_est.xml")
-